Joint Task Offloading and Routing in Wireless Multi-hop Networks Using Biased Backpressure Algorithm
December 19, 2024 Β· Declared Dead Β· π IEEE International Conference on Acoustics, Speech, and Signal Processing
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Authors
Zhongyuan Zhao, Jake Perazzone, Gunjan Verma, Kevin Chan, Ananthram Swami, Santiago Segarra
arXiv ID
2412.15385
Category
cs.NI: Networking & Internet
Cross-listed
cs.DC,
eess.SP
Citations
4
Venue
IEEE International Conference on Acoustics, Speech, and Signal Processing
Last Checked
4 months ago
Abstract
A significant challenge for computation offloading in wireless multi-hop networks is the complex interaction among traffic flows in the presence of interference. Existing approaches often ignore these key effects and/or rely on outdated queueing and channel state information. To fill these gaps, we reformulate joint offloading and routing as a routing problem on an extended graph with physical and virtual links. We adopt the state-of-the-art shortest path-biased Backpressure routing algorithm, which allows the destination and the route of a job to be dynamically adjusted at every time step based on network-wide long-term information and real-time states of local neighborhoods. In large networks, our approach achieves smaller makespan than existing approaches, such as separated Backpressure offloading and joint offloading and routing based on linear programming.
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